SoccerNet-v2: a new MASSIVE soccer dataset - CVsports 2021 - #6 скачать в хорошем качестве

SoccerNet-v2: a new MASSIVE soccer dataset - CVsports 2021 - #6

In this video, we present our paper: “SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos” published at the CVPR 2021 workshop CVsports. We provide 300,000 temporal annotations within 500 soccer games. This allows a 17-class action spotting task, a 13-class camera boundary detection task, and a novel replay grounding task. We provide benchmarks for all these tasks to start an international challenge. 00:00​​ Introduction 00:36​​ Motivation 01:07​​ SoccerNet-v2 dataset 01:43​​ Actions 02:55​​ Cameras 03:54 Replays 04:51 Conclusion Make sure to also join our SoccerNet community on Discord:   / discord   SoccerNet-v2 authors: Adrien Deliège, Anthony Cioppa, Silvio Giancola, Meisam J. Seikavandi, Jacob V. Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas B. Moeslund, Marc Van Droogenbroeck. Link to our website: https://www.soccer-net.org Link to the evaluation platform of the challenge: https://eval.ai/web/challenges/challe... Link to the paper: https://arxiv.org/abs/2011.13367​​​ Code and pip package to get started with the dataset and the challenge: https://github.com/SilvioGiancola/Soc... https://pypi.org/project/SoccerNet/​​​ Don’t hesitate to contact us if you have any questions about the paper or the code! To see more of our work, subscribe to our YouTube channel and other social media! We’ll keep posting our work regularly. Subscribe to Acad Research:    / @acadresearch   Twitter:   / anthony_cioppa​​​​     / adriendeliege   ​​​​   / giancolasilvio​​​   Video Credits Background videos from Videezy.com Music credits ------- Juno in The Space Maze - Loopop Classic - Joakim Karud ------- Presentation written by Adrien Deliège. Video produced and edited by Anthony Cioppa.